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Model selection via Bayesian information capacity designs for generalised linear models.
David C. Woods
James M. McGree
Susan M. Lewis
Published in:
Comput. Stat. Data Anal. (2017)
Keyphrases
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model selection
linear models
variable selection
cross validation
bayesian learning
parameter estimation
statistical inference
sample size
machine learning
regression model
prior knowledge
unsupervised learning
selection criterion
bayesian model selection